Predicting the impact of outdoor vector control interventions on malaria transmission intensity from semi-field studies (Publications)
BACKGROUND: Semi-field experiments with human landing catch (HLC) measure as the outcome are an important step in the development of novel vector control interventions against outdoor transmission of
Foliar nutrient concentrations of European beech in Switzerland: relations with nitrogen deposition, ozone, climate and soil chemistry (Publications)
Excess deposition of the mineral nutrient nitrogen (N) is a serious threat for European forests. Its effect on foliar nutrient concentrations of Fagus sylvatica, along with other predictors, was analy
3D imaging of undissected optically cleared <em>Anopheles stephensi </em>mosquitoes and midguts infected with <em>Plasmodium</em> parasites (Publications)
Malaria is a life-threatening disease, caused by Apicomplexan parasites of the Plasmodium genus. The Anopheles mosquito is necessary for the sexual replication of these parasites and for their transmi
Bacterial genome-wide association study of hyper-virulent pneumococcal serotype 1 identifies genetic variation associated with neurotropism (Publications)
Hyper-virulent Streptococcus pneumoniae serotype 1 strains are endemic in Sub-Saharan Africa and frequently cause lethal meningitis outbreaks. It remains unknown whether genetic variation in serotype
Core components and impact of nurse-led integrated care models for home-dwelling older people: a systematic review and meta-analysis (Publications)
BACKGROUND: Integrated care models are highly recommended to overcome care fragmentation in the multimorbid older population. Nurses are potentially ideally situated to fulfil the role as care coordin
Estimation of urban PM10 concentration, based on MODIS and MERIS/AATSR synergistic observations (Publications)
Multiple linear and higher order equations were developed for the estimation of the PM10 spatial distribution over the broader area of Athens, Greece, based on satellite data. In situ PM10 measurement
Bayesian geostatistical modelling of high-resolution <em>NO</em>2 exposure in Europe combining data from monitors, satellites and chemical transport... (Publications)
Bayesian geostatistical regression (GR) models estimate air pollution exposure at high spatial resolution, quantify the prediction uncertainty and provide probabilistic inference on the exceedance of